Neuromorphic Cognitive Systems A Learning and Memory Centered Approach /

This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, includi...

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Bibliographic Details
Main Authors: Yu, Qiang (Author), Tang, Huajin (Author), Hu, Jun (Author), Tan Chen, Kay (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Intelligent Systems Reference Library, 126
Subjects:
Computational intelligence.
Artificial intelligence.
Neurosciences.
Computational Intelligence.
Artificial Intelligence.
Neuroscience.
Online Access:Full-text access
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Table of Contents:
  • Introduction
  • Rapid Feedforward Computation by Temporal Encoding and Learning with Spiking Neurons
  • A Spike-Timing Based Integrated Model for Pattern Recognition
  • Precise-Spike-Driven Synaptic Plasticity for Hetero Association of Spatiotemporal Spike Patterns
  • A Spiking Neural Network System for Robust Sequence Recognition
  • Temporal Learning in Multilayer Spiking Neural Networks Through Construction of Causal Connections
  • A Hierarchically Organized Memory Model with Temporal Population Coding
  • Spiking Neuron Based Cognitive Memory Model.

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